Market Size in 2023 | Market Forecast in 2032 | CAGR (in %) | Base Year |
---|---|---|---|
USD 3.57 Billion | USD 10.89 Billion | 13.2% | 2023 |
According to the report published by Zion Market Research, the global In-Memory Computing Market size was valued at USD 3.57 Billion in 2023 and is predicted to reach USD 10.89 Billion by the end of 2032. The market is expected to grow with a CAGR of 13.2% during the forecast period. The report analyzes the global In-Memory Computing Market's growth drivers, restraints, and impact on demand during the forecast period. It will also help navigate and explore the arising opportunities in the In-Memory Computing industry.
The adoption of in-memory computing or IMC is escalating day-by-day, triggered by the surging demand for quicker analysis on big data & faster processing, the need to make architecture more comprehensible because of the increment in data sources, and technological advancements that optimize total cost of ownership (TCO).
The coronavirus outbreak will have an impact on the majority of factors of the technology sector. The hardware sector is expected to have the worst impact in the industry. Because of a drop in the supply of hardware and deceleration in production capabilities, IT infrastructure spread has significantly slowed down. Establishments that provide services and solutions are also anticipated to freeze for a short interval. Nonetheless, adoption of collaborative analytics, applications, advanced security, and AI is envisioned to rise in the remainder of the year, assisting the growth of the global in-memory computing market.
Big data is distinguished by three V’s: variety, volume, and velocity. As the volume of activities continues to rise in enterprises, the aggregate of data also increases. In sectors such as BFSI, telecommunication, entertainment, and gaming, the data produced per second is enormous. Because of the surging data bulk, organizations are now facing vast complications in refining gigantic volumes of data and information within the time limit. Therefore, the global in-memory computing market will prosper since the usage of conventional disk-based management structures and the processing of big data has been difficult. These conventional disk-based systems are incapable of digesting high-speed data due to restrictions of mechanical disks.
Additionally, the advent of AI and ML-based technologies will have an affirmative impact on the global in-memory computing market. Artificial intelligence (AI) in in-memory computing market enables businesses to revamp the effects through valued customer insights. In-memory computing allows the identification of practical understanding by way of high-volume discovery, because it can offer both, grand views and drill-down factors.
The global in-memory computing market can be segmented on the basis of solution, application, and region.
By solution, the In-Memory Database solutions segment is predicted to constitute a higher market share in the forthcoming period. The increasing demand for the In-Memory Database segment is accredited to the surging demand for improving performance & flexibility, building live applications, and helping quicker development of global in-memory computing market universally. In-memory computing solutions assist to reduce operational and development expenses by standardizing an in-memory computing structure. In-memory computing includes In-Memory Database (IMDB), Streaming Data Analysis, and In-Memory Data Grid (IMDG). Such solutions are a kind of middleware software which allows businesses to reserve data in RAM, over multiple computers, and process it simultaneously. A majority of such solutions offered assert that they are easy to deploy plus are cross-functional to handle complex computing requirements. Thus, in-memory computing solutions are structured comprehensively to save data in an allocated manner, in which the entire data files are distributed into separate computers’ memory, of which every computer stores only a fraction of the overall data files.
By application, the fraud detection and crisis management is predicted to hold the largest market share in the global in-memory computing market during the upcoming period. This development can be ascribed to the necessity of organizations to be watchful and enhance their risk intelligence abilities to confront risk exposures. Additionally, this application assists establishments to alleviate risks and position important business processes based on their use, like providing automatic risk notifications.
Report Attributes | Report Details |
---|---|
Report Name | In-Memory Computing Market |
Market Size in 2023 | USD 3.57 Billion |
Market Forecast in 2032 | USD 10.89 Billion |
Growth Rate | CAGR of 13.2% |
Number of Pages | 197 |
Key Companies Covered | Oracle, Software AG, Red Hat, MongoDB, Salesforce, Kognitio, Intel, Enea, Fujitsu, and SAP |
Segments Covered | By solution, By application and By Region |
Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA) |
Base Year | 2023 |
Historical Year | 2018 to 2022 |
Forecast Year | 2024 - 2032 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
Asia Pacific is anticipated to be the fastest-developing zone, by virtue of presence of nations like Japan, China and India. These nations are the nerve center for enterprises like KPOs and BPOs, therefore called as the manufacturing factories. The region will guarantee a spiraling demand for in-memory computing due to the increasing volume of investments across several domains, the boom in the IT sector, and the rapid technological advancement. Moreover, since even the establishments with very restricted money resources and expertise in IT have begun to undertake in-memory computing enabled applications to assist the common users to easily and effectively perform complex data examination, the market in this region will exhibit high growth.
are the major market competitors of global in-memory computing market. Apart from the already existing companies in the in-memory computing industry, the recent entrants of the market are implementing modern solutions to attract consumers. The market competitors are concentrating on attending to the demands put forth by the customers with distinctive product characteristics.
The Global In-Memory Computing Market is segmented as follows:
By Solution
By Application
What Reports Provides
HappyClients
Zion Market Research
Tel: +1 (302) 444-0166
USA/Canada Toll Free No.+1 (855) 465-4651
3rd Floor,
Mrunal Paradise, Opp Maharaja Hotel,
Pimple Gurav, Pune 411061,
Maharashtra, India
Phone No +91 7768 006 007, +91 7768 006 008
US OFFICE NO +1 (302) 444-0166
US/CAN TOLL FREE +1 (855) 465-4651
Email: sales@zionmarketresearch.com
We have secured system to process your transaction.
Our support available to help you 24 hours a day, five days a week.
Monday - Friday: 9AM - 6PM
Saturday - Sunday: Closed